Cost-effectiveness analysis of polycystic ovary syndrome management and the risk of gestational diabetes in pregnant women: a decision-tree model.

BACKGROUND: This study estimated the cost-effectiveness of metformin to reduce the risk of gestational diabetes mellitus (GDM) in pregnant women with polycystic ovary syndrome (PCOS) from the US health-care payer perspective. METHODS: A decision tree was developed to simulate the progression of PCOS in a hypothetical cohort of 10,000 pregnant women diagnosed with PCOS and two scenarios were tested. Normal glucose regulation without developing GDM, average cost-effectiveness ratios (ACER), and the incremental cost-effectiveness ratios (ICERs) were the outcome measures assessed through pregnancy. Evidence from randomized clinical trials and other published literature were used to assess disease progression and its associated health-care costs. Sensitivity analyses that varied key model parameters were conducted. RESULTS: Management of PCOS with metformin was associated with lowest ACER ($669.78 per normal glucose regulation without GDM) as compared to 'no intervention' strategy. Metformin use is the most cost-effective strategy to manage PCOS during pregnancy with average cost savings of $7,593,372.97 and an average effect gain of 2271 of normal glucose regulation without GDM among pregnant women with PCOS. Sensitivity analyses determined that the results are robust. CONCLUSIONS: Management of PCOS during pregnancy may be a cost-effective strategy to reduce GDM risk and its associated complications.

Association of the severity of diabetes-related complications with stage of breast cancer at diagnosis among elderly women with pre-existing diabetes.

PURPOSE: This study assessed the association between the severity of diabetes complications using diabetes complications severity index (DCSI) and stage of breast cancer (BC) at diagnosis among elderly women with pre-existing diabetes and incident BC. METHODS: Using Surveillance, Epidemiology and End Results-Medicare data, we identified women with incident BC during 2004-2011 and pre-existing diabetes (N = 7729). Chi-square tests were used to test for group differences in stage of BC at diagnosis. Multinomial logistic regression was used to examine the associations between the severity of diabetes complications and stage of BC at diagnosis. RESULTS: Overall, women with a DCSI = 2 and a DCSI ≥ 3 were more likely to be diagnosed at advanced stages as compared to those with no diabetes complications. In full adjusted association (after adding BC screening to the analysis model), the severity of diabetes complications was no longer an independent predictor of advanced stages at diagnosis. However, women with a DCSI = 2 were 26% more likely to be diagnosed at stage I (versus stage 0) of BC at diagnosis as compared to those without diabetes complications (OR 1.26, 95% CI 1.03-1.53). CONCLUSION: The increased likelihood of having advanced-stage BC at diagnosis associated with severity of diabetes-related complications appears to be mediated by lower rates of breast cancer screening among elderly women with pre-existing diabetes complications. Therefore, reducing disparity in receiving breast cancer screening among elderly women with diabetes may reduce the risk of advanced-stage breast cancer diagnosis.